1. Codeless Automation Testing
2. How does Codeless Automation Testing Work?
3. Why Choose a Codeless Automation Platform?
4. Significance of Choosing the Right Codeless Automation Testing Tool
5. How QA Teams Can Use No-Code Automation?
6. List of Features to Look for in a Codeless Test Automation Tools
7. Top Four Codeless Automation Testing Tools
8. What to Check When Choosing a Codeless Automation Tool?
9. Conclusion

Codeless automation testing is a simpler way to do automation testing as it doesn’t require developing scripts. Creating automation scripts may be quite hard for QA engineers since they have to write code in many different programming languages, which is both hard and time-consuming. You can cut down on testing time by a lot by using codeless automated testing, especially for test cases that need to be run over and over again.

Codeless Automation Testing

In the era of codeless testing tools available in the market, you’ll find a range of user-friendly features that simplify the testing process. These include:

– Intuitive Drag and Drop Interface.

– Efficient Record and Playback Functionality.

– Seamless Integrations with Machine Learning (ML) or Artificial Intelligence (AI) technologies.

– Reduced Maintenance Efforts.

This approach not only accelerates testing but also ensures that the testing process remains accessible and efficient, even for testers without extensive coding experience.

How does Codeless Automation Testing Work?

No-code or low-code testing, often called codeless automation testing, is the process of leveraging tools and platforms that let people make automated tests without having to write regular code. This method lets testers and non-technical users create and run test cases using a graphical user interface (GUI) or a basic scripting language, so they don’t need to know how to program. As part of modern automation testing services, codeless testing makes things run more smoothly, speeds up the time it takes to get a product to market, and lets more people work on quality assurance without needing to know a lot about technology.

Here’s an overview of how codeless automation testing works:

Intuitive Test Scenario Design:

The first step in codeless automation testing is to develop test scenarios that are easy to comprehend and use. Testers work with a visual interface that usually has drag-and-drop functionalities and a list of pre-made testing actions. The UI is easy to use, so testers can choose activities that mimic how users would interact with the app and put them in the right order to create a logical test flow.

Element Identification and Interaction:

Testers can simply find and interact with parts of the application under test (AUT) using the codeless testing tool. Testers can choose different parts of the user interface, like buttons, input fields, dropdowns, and more, through the graphical interface without having to know how to program. This lets you simulate things that users do, such clicking, entering data, and moving around.

Intelligent Validation and Assertions:

During the creation of test scenarios, testers define validation points and assertions within the test steps. These validation points are critical for verifying the correctness of the application’s behavior. The tool provides predefined validation options and allows testers to set conditions and expectations. Assertions aid in ensuring that the application meets the desired criteria and functions as intended.

Parameterization and Data-Driven Testing:

With codeless automation testing, testers can parameterize, which means they can enter data straight into the test phases. This could be data that was entered by hand or data that was taken from pre-made datasets. Data-driven testing is possible because you may use several sets of test data. This helps make sure the application works correctly with diverse inputs and conditions.

Efficient Test Execution and Reporting:

Testers can start running the automated tests directly from the codeless testing tool after the test cases have been set up and created. The tool runs the test steps that have been set up, interacts with the app according to the given actions, checks the results, and makes thorough reports. These reports provide the status of the tests, how long they took, whether they passed or failed, and any problems that came up. The reports that are made are useful for finding any bugs and giving information about the quality of the program.

Why Choose a Codeless Automation Platform?

Codeless automation technologies aren’t simply useful; they also assist QA teams ship faster, with fewer bugs, and without having to rely on senior automation engineers all the time. You make it less necessary to know how to code while yet allowing business users and manual testers to make a real difference. That’s a huge concern when time is short for deliveries.

They also make feedback loops shorter during sprints, boost coverage with test scenarios that are easy to maintain and let teams work quickly without sacrificing the reliability of the tests. A good codeless platform can grow and develop with you, whether you’re making changes to the UI, building things often, or testing on several platforms.

Significance of Choosing the Right Codeless Automation Testing Tool

Selecting the right codeless automation tool holds immense significance in the realm of software testing and quality assurance. Here’s why making this choice wisely is crucial:

Efficiency and Productivity:

The correct codeless automation tool makes it easier to write and run test cases. It gives testers the tools they need to quickly develop and run tests through easy-to-use interfaces, which saves a lot of time and effort. This increase in efficiency is especially useful in development contexts that move quickly.

Reduced Learning Curve:

Codeless tools are made to be easy to use, so more people on the team can use them, even if they don’t know how to code. This makes it easier for new team members to get up to speed, which saves time and money in the long run.

Cost-Effective:

In the long run, buying the correct codeless automation technology can save you money. It cuts down on the requirement to hire expert automation engineers and the extra work that comes with maintaining traditional scripted automation.

Flexibility and Scalability:

The ideal codeless tool offers flexibility to adapt to evolving testing needs. It should be capable of handling a variety of test scenarios and be scalable to accommodate the growth of your project.

Reliability and Robustness:

Your chosen tool should provide reliable and robust testing capabilities. This means it should support various testing types, handle complex scenarios, and generate dependable test results.

Integration Capabilities:

It is also important that it works with the development and continuous integration/continuous deployment (CI/CD) tools you already have. A good tool fits well into your workflow, making your software development process more efficient overall.

Support and Community:

The availability of a strong user community and reliable customer support for the tool is vital. This ensures that you have resources and assistance readily available when encountering challenges or seeking to optimize your testing processes.

The appropriate codeless automation technology can alter the game by helping your QA team make better products faster, while also making it easier for them to work together and cutting down on the problems that come with traditional script-based automation. It’s a deliberate choice that can have a big positive effect on your software development lifecycle.

How QA Teams Can Use No-Code Automation?

QA teams can employ no-code automation to speed up testing without needing help from developers. Even if they have never written a script, manual testers can make and run test cases using visual interfaces.

These tools are ideal for:

• Quick regression testing during Agile sprints
• Test scenarios based on data
• AI-powered self-healing can cut down on maintenance.
• Making it possible for QA, product, and business teams to work together

List of Features to Look for in a Codeless Test Automation Tools:

Application development firms increasingly embrace codeless test automation tools to keep up with the rapid cadence of new product releases within their CI/CD pipelines. Consequently, they can significantly reduce both the expenses and the time required for repetitive testing, all without the necessity of manual code creation.

In the midst of the continuously rising popularity of codeless test automation, the market boasts an array of over a dozen automated testing tools to consider. Nevertheless, it’s important to discern that not all these tools meet the criteria of being labelled as “genuine” codeless test automation solutions. To help with your selection, here are key features to seek in a codeless test automation tool:

Is it capable of performing resource-intensive and costly tests without requiring proficiency in a specific programming language?

– Does it facilitate application testing on a variety of devices and operating systems?

– Does it offer a straightforward and user-friendly interface, akin to an “Action Logic Editor”?

– Does it come with features for “In-Sprint and Self-healing” capabilities?

– Does it support seamless integration with AI and machine learning technologies?

– Does it offer unified automation capabilities spanning various platforms, encompassing Web and Mobile applications, APIs, Desktop applications, and Mainframes?

Let’s take a closer look at the top five codeless test automation tools available for your testing needs:

Top Four Codeless Automation Testing Tools 

UiPath

UiPath is a top robotic process automation (RPA) platform that has become well-known in the automation world since it is easy to use and doesn’t require any coding. One of the best things about UiPath is that it lets people with little programming experience design and deploy automated workflows quickly and easily. This is known as “low code” or “codeless” automation.

For both beginners and seasoned automation pros, it is a strong tool since it is easy to use, has a large library of activities, and is committed to security and scalability. UiPath lets users automate tasks without having to write a lot of code, which helps businesses run their daily operations more efficiently and productively.

Here are some of the core features of the tool:

– It lets people who don’t know much about coding make automated procedures. 

– Gives you a library of pre-made automation tasks for different jobs. 

– Make and use your own workflows and activities to make things run more smoothly. 

– Has tools for debugging and testing that help find and repair problems in workflows. 

– Allows for integration with APIs, databases, and online services to make automation better. Lets businesses start small and grow their automation initiatives as needed. 

Katalon Studio

Katalon Studio stands as one of the foremost codeless test automation tools, providing a spectrum of testing capabilities encompassing APIs, web applications, and desktop applications.

This tool is designed for accessibility, catering to both novice and seasoned software testers alike. It boasts a user-friendly interface equipped with features like record and play, along with a drag-and-drop editor. Furthermore, software testers have the flexibility to seamlessly integrate external libraries into Katalon Studio, simplifying test execution without the need to build the framework from the ground up.

Here are some of the core features of the tool:

– Included are pre-designed project templates, test case libraries, and object repositories.

– Enhanced collaboration capabilities for agile teams through integrations with platforms like Slack, GitHub, and others.

– Empowers technical users to craft advanced automation scripts utilizing Selenium or JavaScript.

– Enables the incorporation of native plugins for continuous integration.

– Offers an array of extensive reporting functionalities.

TOSCA

Test Orchestration, Automation, and Reporting” is a full-featured test automation solution that lets you automate tasks without writing any code. Codeless automation is a big change in the field of software testing. It lets testers and quality assurance professionals build and run test automation scenarios without having to write complicated code scripts.

TOSCA is becoming more popular since it makes test automation easier to use and doesn’t require any coding knowledge. This means that more people, including those who aren’t very good at coding, can use it. TOSCA is a codeless automation tool that can help businesses speed up their test automation efforts while relying less on coding knowledge. It has an easy-to-use UI, many ways to connect with other tools, and a focus on reusability, which makes it a good choice for teams who want to automate tests quickly and effectively.

Here are some of the core features of the tool:

– Uses keywords to make it easier to create and manage test cases.

– Promotes the usage of test modules, test cases, and components again to make automation work better.

– Works with a wide range of tools and technologies, such as test management systems and CI/CD pipelines.

– Makes detailed reports on test execution and gives information about test findings.

– Facilitates efficient regression testing to catch and prevent software regressions. 

TestIM

Testim is an all-encompassing AI-driven testing platform that assists teams in automating tests with ease, reliability, and collaborative efficiency. Leveraging dynamic and intelligent locators, Testim adeptly adapts to alterations within the Application Under Test (AUT), autonomously generating and executing tests. Furthermore, this platform harnesses the power of machine learning to craft, conduct, and oversee tests, leading to a substantial reduction in the time required for test creation and execution, with the capability to simultaneously perform thousands of tests.

Features:

– Testim’s intelligent and adaptable locators automatically generate tests, simplifying the process of keeping pace with rapid releases and UI modifications for teams. 

– It works perfectly with your current CI/CD pipelines and tools for working together. 

– Testim’s visual test editors make it easy to create tests for both technical and non-technical team members.  

– The platform has detailed test reports and strong bug checkers, which make it easier to do full test analysis.

What to Check When Choosing a Codeless Automation Tool?

Before you choose a codeless automation tool, there are a few factors you must consider:

-Is it really no-code, or is it just a simpler scripting layer?

Once you get past the surface, several tools still need specific coding. Make sure that coding isn’t necessary for the main part of the test creation procedure.

-Can it test across different platforms?

Check to see if your product works with all browsers, mobile devices, APIs, and desktop apps.

-How easy is it to keep up with tests?

Does the tool let tests fix themselves? Can it handle changes to the UI without ruining everything?

-How does test reusability work?

Reusable logic blocks and modular test components cut down on duplication and save time.

-Does it work well with the other tools you already have?

These should all work together without any extra work: CI/CD pipelines, test management systems, and collaboration tools.

-Do you have built-in reporting and analytics?

Dashboards, failure logs, and trend charts help teams find patterns and make sure they test enough.

Conclusion

The world of software testing is evolving swiftly as we get closer to 2026. Codeless automated testing solutions are at the forefront of these changes. These technologies are altering how testing is done, making it easier, faster, and more collaborative for teams in a lot of different professions and industries.

This list has some of the top options, but the perfect tool for your business will depend on things like what your project needs, how skilled your staff is, and how much money you have. So, before you decide, you should look at these tools closely and think about how they will help you reach your testing goals.

Not only are codeless automation technologies making testing easier, but they are also helping to meet the wider goals of getting products to market faster, making sure software is of good quality, and enhancing communication between development and QA teams. By using these technologies in your testing plan, you can make sure that you make high-quality software solutions that match client expectations. This will help your firm stay ahead of the competition in 2025 and beyond.

Should you want any Codeless automation testing services, let’s connect and discuss how TestingXperts can help your business!

The post Top Codeless Automation Testing Tools for 2025 first appeared on TestingXperts.

1. What is Healthcare Automation?
2. Why Automation in Healthcare Is Necessary?
3. 10 Key Areas Where Healthcare Automation is Crucial
4. How to Implement Automation in Healthcare?
5. Conclusion
6. Why Choose TestingXperts for Healthcare Automation Testing?

Consistent demand for better healthcare and the increase in supply chain complexities and operational costs are forcing healthcare companies to look for alternatives to meet these demands. Another issue is the competition due to the increasing usage of digital technologies like AI, RPA, etc. These technologies are transforming patient care and encouraging traditional hospitals to adopt them. The shortage of doctors is another reason automation is necessary in the healthcare industry. According to statistics, the US might need up to 124000 more doctors than they currently have by 2034. At the same time, the number of patients will grow drastically, especially older ones with extra medical care.

So, what’s the solution? Artificial intelligence is among the top technologies reshaping healthcare automation. From predicting patient care requirements to helping doctors diagnose diseases faster and more accurately, this technology can save on costs and improve patient care. Whether it’s about using intelligent systems to ensure no harmful drug interactions or using AI chatbots to provide personalized user experience, automation is no longer the future – it’s the present.

What is Healthcare Automation?

Automation in healthcare is about using technology and digital tools to make healthcare processes faster and easier. It’s similar to having smart tools to handle routine tasks in clinics and hospitals. Doctors and other staff can focus more on patients and less on paperwork or repetitive tasks.

• Automation helps in managing patient records electronically on cloud or computer devices. It makes it faster to find and update patient information.

• It allows the automatic scheduling of appointments based on the doctor’s availability and patient needs. This, in turn, reduces waiting time and allows patients to see their doctors easily.

• It helps in medication management by alerting patients about their medication timing and letting doctors know in case of any issues (allergies to a certain drug, PHI, etc.)

• Doctors can keep a check on patients from a distance with remote monitoring.

• AI can help analyze medical data and find patterns, allowing doctors to diagnose diseases faster and start the treatment as soon as possible.

• Healthcare robotic process automation helps manage the supply chain and inventory, and assists in surgeries. It will make processes safer and more efficient.

• Automation supports telehealth, allowing patients to talk to doctors via video calls or messages. This is very helpful for patients who cannot get to a clinic or hospital.

Why Automation in Healthcare Is Necessary?

The rising demand for efficient and quality patient care has made automation a necessity step in the healthcare industry. With challenges like rising medical costs, workforce shortage, and increasing patient numbers, integrating tech innovations in healthcare has become crucial. Here’s why healthcare automation is necessary:

• Healthcare facilities are getting crowded with each passing day. Automation helps in efficient patient management using technologies like AI, RPA, etc., allowing hospitals to provide better service without compromising care quality.

• Human errors, though unintentional, could cause serious consequences in healthcare. Automated software systems are necessary to minimize errors like medication dispensing, dosage calculations, etc.

• A good portion of healthcare professionals’ time is consumed by administrative tasks. Automating healthcare software can streamline these tasks, including appointment scheduling, insurance processing, and medication management, allowing staff to focus on patient care.

• Automation facilitates faster task completion, making it cost-effective compared to manual methods. It is an important factor for healthcare institutes with budget constraints.

10 Key Areas Where Healthcare Automation is Crucial

Automation in healthcare is essential in several areas that play a critical role in optimizing patient care and operational efficiency. Here are ten key areas where healthcare automation is necessary:

Patient Data Management

Automation upscale patient record keeping from an error-prone process into a streamlined, efficient system. EHRs allow real-time updating and sharing of patient information among healthcare providers. It ensures that every patient care team member can access updated data, supporting better-informed decisions and coordinated care. Advanced EHR systems can trigger alerts whenever there’s any issue related to medication interaction.

Scheduling and Managing Appointments

Automated schedule management allows patients to book appointments online. Healthcare providers can manage their schedules to reduce wait time and improve patient care. The system can automatically remind patients about their appointments and provide data analytics to improve operational efficiency.

Medication Management

Automated dispensing systems accurately dispense medication and reduce human errors. These systems contain medication distribution records, which are crucial for patient safety and regulatory compliance. Automated dose reminders also improve adherence to treatment standards, a key aspect of medication results.

Laboratory Tests Diagnostic

In medical labs, automation accelerates the test processing, from blood work to image scanning. It enhances the test results’ accuracy, reduces analytics time, and allows lab personnel to focus on complex tasks. These are important aspects of timely diagnoses and treatment plans.

Billing and Claim Processing

Automating billing and insurance claim processing reduces the administrative workload on healthcare providers. These systems process claims, verify insurance eligibility and handle billing cycles efficiently. They speed up the reimbursement process and minimize errors to prevent claim rejections and delays.

Automating Supply Chain Management

Supply chain management automation ensures healthcare facilities are always stocked with essential supplies. Inventory management tracks stock levels in real time, predicts future requirements according to usage patterns, and automatically reorders supplies when necessary. RPA is vital in avoiding shortages or overstocking critical items like medications, PPE (personal protective equipment), etc.

Remote Patient Monitoring

Automation allows remote patient monitoring, greatly benefiting those with chronic conditions. Home monitoring systems and wearable devices consistently collect health data like blood sugar level, blood pressure, heart rate, etc., and transmit it to healthcare institutes. It allows proactive management of health conditions and alerts doctors if patients face any health issues before they become problematic.

Clinical Decision Support Systems 

These systems use AI and ML technologies to analyze huge healthcare datasets. Clinical decision support systems assist doctors in diagnosing and devising treatment plans by highlighting potential risks and recommendations. They are a valuable tool for healthcare professionals to make informed decisions.

Telemedicine

Telemedicine allows patients to consult with healthcare providers remotely. This is very helpful for individuals living in remote areas or those having mobility issues. Telemedicine platforms offer various services, from video consultations to remote monitoring, improving healthcare access.

Hygiene Monitoring and Infection Control

Automated software systems are vital for infection control within healthcare facilities. They monitor adherence to hygiene protocols, identify potential outbreaks, and track infection rates. Automation facilitates real-time monitoring to maintain a safe environment for healthcare workers and patients.

How to Implement Automation in Healthcare?

Integration automation into healthcare operations is crucial for enhancing patient care and process efficiency. However, the implementation process requires following certain practices from initial requirement assets to ongoing adaptation and evaluation. The result would be the comprehensive transformation of existing workflows and practices. Let’s take a look at this strategic approach:

• Conduct a thorough analysis of the healthcare facility’s requirements. Identify areas with errors or inefficiencies (patient record management, appointment scheduling, drug dispensing, etc.). It will help in spotting specific challenges that require automation.

• Select tech solutions that align with the requirements, such as AI-driven diagnostic tools, EHRs, telemedicine, etc. Selecting solutions that integrate seamlessly with existing infrastructure and workflows is necessary.

• Create a detailed budget plan, including software, hardware, infrastructural upgrades, and staff training expenses.

• Communicate the automation benefits to all stakeholders, including healthcare professionals, administrative staff, and patients. It will ensure buy-in and a smooth transition.

• Implement training programs to educate staff about new technologies. Having continuous support post-implementation will help in addressing any challenge swiftly.

• Conduct thorough testing of the process or software applications that are getting automated. This controlled approach allows for the assessment and fine-tuning of the systems before a full-scale rollout.

• Monitor the automated systems performed at regular intervals. Collect feedback from everyone involved to assess the impact of technology on healthcare facilities.

• Have stringent security protocols to ensure compliance with healthcare regulations, particularly patient data protection.

• Stay up to date with tech innovations, as regular updates and scalability are important to stay ahead in the evolving healthcare industry.

• Regularly evaluate the impact of automation and research new technologies and methodologies to enhance patient care.

Conclusion

With the rise in healthcare demands, operational costs, and patient numbers, integrating automation in healthcare has become necessary. Technologies like AI/ML, cloud, and RPA are transforming patient care by making it more efficient and effective. From handling patient records and appointment scheduling to improving diagnosis and treatment processes, automation is gradually becoming a present-day reality in healthcare. It helps manage patient care operations, reduces human errors, and is a cost-saving concept in the long run. However, healthcare businesses should partner with a recognized automation testing services provider like TestingXperts to ensure effective implementation.

Why Choose TestingXperts for Healthcare Automation Testing?

Choosing the right automation testing partner is crucial in the healthcare industry, where technology and patient care are top priorities. TestingXperts, with its deep expertise in the healthcare domain, brings a wide set of automation testing techniques to help elevate patient care and operational quality. Here’s why Tx should be your go-to choice for implementing automation in healthcare:

• Our experts understand the complex automation requirements of the healthcare industry. Their in-depth knowledge ensures that the testing process aligns with healthcare-specific requirements.

• We use our in-house accelerators like Tx-Automate and Tx-HyperAutomate to help you identify and solve complex challenges in automation.

• Recognizing the criticality of healthcare compliance, we adhere to industry regulatory standards like HIPAA, PCI DSS, etc., to ensure patient data safety and legal conformity.

• We offer tailored testing solutions to adapt to different healthcare software automation requirements’ unique needs.

• Our team is skilled and seasoned in healthcare automation testing. Their experience plays a vital role in navigating the complexities of healthcare automation.

• We stay abreast of the latest developments in healthcare technology, ensuring our testing methodologies remain relevant and effective in the rapidly evolving healthcare industry.

To know more, contact our QA experts now.

The post How does Automation in Healthcare Transform Patient Care? first appeared on TestingXperts.

Table of Contents

1. Banking App Testing Challenges
2. Security is Critical
3. Complex Data
4. Omni-Channel Banking
5. Performance Failures
6. Integration with Programs
7. Usability testing
8. Real-time Activities
9. Internet Connections and Browsers
10. Time to Market
11. Devices
12. Security
13. Mobile Environmental Factors
14. Privacy
15. Conclusion

The banking domain has become multifarious with ever-changing and cutting-edge technology. With complex functionalities tangled into the banking applications, it is considered to be the most advanced and complicated enterprise solution. The day-to-day transactions made via banking applications call for high scalability, reliability, and precision in terms of data. Therefore, it is imperative to test banking applications under various set-ups. An adept test strategy for banking applications should comprise of Mobile, Cloud, Internet, and various other features linked to a banking application.

What are the characteristics of a banking app?
– Banking applications should be able to integrate with several other applications such as billing apps, credit cards, trading accounts, etc. – The apps should be able to navigate fast and help to process secured transactions – When a number of users use the application, it should be able to support all users with flawless performance – The app should be able to handle any complicate workflows – The storage capacity of the banking apps should be more – The app must be user-friendly and support the users on all devices and across their platforms – The app should have a high auditing capability to troubleshoot the customer issues – There should be a fool-proof disaster management recovery to protect users from unfair practices – The app should support service sectors such as for loans, retail, etc. and provide the scope to perform payments through multiple gateways

As a various number of banking transactions happen each day, these applications need to deliver a high performance that meets customer needs. Besides this, the banking sector needs robust reporting in order to monitor and record transaction and user interactions instantly. To ensure that the banking applications are performing efficiently well, testing is essential. However, there are numerous challenges from the testing point of view that need to be addressed. In this article, we have highlighted key challenges that are faced while testing any banking application.

Banking App Testing Challenges

Security is Critical

Banking applications are overloaded with private customer information and data. Therefore, it is essential to ensure security at all levels in an online application. However, security testing becomes quite challenging, especially when there is a variation in the network and operating system across various devices. A banking application must be compatible with all versions, operating systems, and devices etc. Security testing of banking applications is a must, and should adhere to all applicable security standards.

The bank should ensure that all access validation codes and one-time passwords work properly. To ensure that the software doesn’t have any defects or faults, a QA team needs to validate both positive as well as negative sides of the system, reporting it before any unauthorized access occurs.

Complex Data

One of the major challenges that become difficult to address while testing a banking application is the complexity of the data. Banking applications contain all sorts of private information, data, passwords, and assets of the customers stored in their back-end. It is imperative to ensure that the back-end databases are not affected by any malware and that the data within is protected.

A bank certainly needs to have an automation tool to check database connectivity and logical functions continuously. It is beneficial if this is done over a virtual private network (i.e. a VPN) in order to ensure safety across its private data.

Omni-Channel Banking

Omni-channel banking or the branchless banking is the modern concept where the financial markets are functioning without a need of any branch. And, this is a great challenge to the teams for understanding its end-to-end functionality and efficiency in mobile applications.

Performance Failures

Performance levels consist of infrastructure, connectivity, and back-end integration. The transactions happening through the application should be administered at regular interims. Moreover, load and stress tests should frequently be performed to ensure multiple support for transactions at the same time.

Integration with Programs

Banking apps should have the ability to integrate with the programs that are used by users. Also, the applications should be capable to handle every complex workflow without any hurdles and troubles. While integrating with any third-party websites, there is much scope to get bugs and issues, hence the QA teams have to be cautious to deal with issues related to bugs and incompatibility.

Usability testing

Banking apps are being accessed by wide number of people but not every person is having with the technical skills to perform banking tasks with ease. The banking should be user-friendly so that everyone can easily access it, if not these can lead disinterest among the people who are unable to use it with ease. Hence, the app has to be tested across different groups of customers.

Real-time Activities

Banking applications need to provide real-time updates on the transactions to the customers as well as the back-end. It is important that the functionality of the application is continuously managed and identified by the testing teams. If there are any network connectivity issues that can hamper the real-time updates of the transactions, the teams should ensure proper testing of the application for any response delay.

Internet Connections and Browsers

User may login the app by using various devices, different browsers and from different internet connections. If the app fails to respond in any of the scenario then this can create a negative impact. Hence, to avoid such situations, teams have to check the performance of the app across all internet connections and browsers.

Time to Market

The addition of new features is a way to attract more customers, but with reduced time to market, there is a pressure that causes testing teams to cut short the testing cycles.

Devices

The present market is having a multitude of devices. If any of the devices is not considered, then this may be a big drawback and can create complexities. Hence, while testing the applications, it is necessary to consider every device across networks and platforms.

Security

Security is an important challenge for the banking sector. When planning for security testing, it is essential to consider all security standards in accordance with mobile devices, networks, operating systems, and platforms.

Mobile Environmental Factors

There are several mobile environmental factors that can affect the behaviour of the mobile bank application. The app can get affected by the background applications, memory card, camera usage, GPS, switching of the network, the state of the battery, etc. The integration of the mobile app with all these features may be a big challenge if the testing team fails to consider all these possible scenarios. Hence, it is important for the teams to consider every environmental factor while testing.

Privacy

Privacy is a challenging issue in mobile apps. Mobile devices are much personalized as they consist user’s data and identity. These are the important constraints which have to be considered and require the need for security. If the privacy factor fails, then this can create risk for the user data when there is an integration with other third party websites. Hence, while practicing security testing it is important for the teams to consider every factor so that the user-data is secured.

Conclusion

Testing banking application can be an intricate process, but if there is an experienced testing partner involved, the testing challenges can be readily eradicated. TestingXperts, with its efficient testing strategies and the right blend of testers and processes, is helping its banking and financial clients to achieve successful and vulnerability-free applications.

The post 12 Challenges Faced While Testing an Banking Application first appeared on TestingXperts.

Selecting the right end-to-end (E2E) testing framework is very important in the web application testing domain. It allows businesses to automate test cases and ensure their applications perform as expected throughout the testing cycle. However, with many cross-browser testing frameworks covering the market, selecting the right tool for automated testing requirements becomes harder. Although Selenium, by default, has been the suitable choice for automated testing, Playwright and Cypress have also emerged as good alternatives in this domain. However, to understand which tool is best between Playwright vs Cypress, we will talk deeply about it in this blog. 

Why Selecting the Right Framework Matters? 

Selecting the right framework is crucial as it directly impacts the testing process’s scalability, efficiency, and accuracy. It leads to higher-quality software, enabling faster test execution, improved test coverage, and reduced maintenance costs. This allows QA teams to focus on critical testing scenarios while tools handle the repetitive tasks. Let’s take a quick look at some key reasons for selecting a proper E2E testing framework: 

• A framework will facilitate code reusability and create test components that can be used across multiple test cases. This will save the time and effort of the dev and QA teams during development.  

• Teams can utilize a structured approach to minimize human error and ensure consistency in test execution. This will yield more reliable test results.  

• A well-structured framework facilitates easier updates and modifications to test scripts, mainly when changes occur in the application under test.  

• The proper framework can adapt to growing project complexities, efficiently allowing teams to run larger test suites across multiple environments.  

• Frameworks facilitate better communication and collaboration within the team by providing a standardized approach to test development.  

• Selecting a framework that suits the project’s specific technologies, application architecture, and testing requirements ensures optimal results.  

Playwright vs Cypress: A Detailed Comparison

Playwright is an open-source automation framework developed by Microsoft that supports end to end testing of web applications. This tool allows developers and QA teams to automate web page interactions and ensure reliability and robustness. It offers various features, such as: 

• Cross-browser testing to test against multiple browsers simultaneously, reducing application testing time. 

• Parallel testing to run tests in parallel and further decrease overall test run time. 

• Headless testing to run tests in headless mode and test applications that cannot run in a browser. 

Cypress is also an open-source E2E testing framework developed by the Cypress.io team. It focuses on modern JavaScript frameworks like Angular, React, and Vue. It comes with the Mocha test framework by default. This tool is known for its developer-friendly features and simplicity, making it a popular choice among QA and development teams. It offers various features, such as: 

• Intercepting and inspecting network requests for testing APIs and other functionalities dependent upon the network. 

• Automatic waiting enables elements to load and be visible before users interact with them, which reduces test flakiness. 

• It can automatically take videos and screenshots of the test cases to support debugging and reporting. 

Let’s take a quick look at the detailed comparison between Playwright vs Cypress to understand these frameworks better: 

Playwright vs Cypress Use Case Scenarios: Which is Better? 

For Fast-Paced Agile Teams:

Speed, reliability, stability, and ease of integration are the critical factors for teams that work in an Agile environment. They have to consider all these factors when selecting a testing framework. Playwright supports parallel test execution to reduce overall test run time, making it a strong contender. Its auto-waiting feature ensures stable test case execution and minimizes flaky failures to speed up development cycles. It also supports multiple programming languages, making it easy to adopt. On the other hand, Cypress is known for its easy-to-setup and user-friendly syntax. It is an excellent tool for front-end teams looking for quick adoption. However, the test run is slower in Cypress than in Playwright due to browser execution constraints, a drawback in a fast-paced Agile environment. 

Comprehensive Cross-Browser Testing:

Playwright is the first choice if cross-browser compatibility is a priority. It offers native support for multiple browsers, ensuring consistent performance across each. Additionally, it supports accurate mobile browser testing, making it highly suitable for applications targeting various devices. Cypress, in comparison, is primarily optimized for Chrome-based browsers. Although it provides experimental support for Edge and Firefox, it lacks full-fledged cross-browser capabilities. Furthermore, it does not support accurate mobile browser testing, which can be a limitation for teams requiring extensive compatibility testing. 

Debugging and Test Maintenance:

Effective debugging and maintenance are crucial for long-term test automation success. Cypress leads in debugging with its interactive UI and time-travel feature, allowing testers to replay previous test steps for more straightforward issue resolution. It is preferred for teams focusing on front-end testing where quick UI validation is required. However, Cypress tests can be prone to flakiness due to browser constraints, increasing maintenance overhead. On the other hand, Playwright provides auto-waiting, event tracing, and rich debugging tools, which help reduce test flakiness and improve test stability. Its detailed test reports and seamless CI/CD integration make it a better fit for teams requiring long-term test maintainability and scalability. 

How does Tx help businesses with Cypress and Playwright Automation? 

Tx is a leading DA and QE service provider and has been chosen as a trusted QA partner by Fortune clients. We ensure superior testing outcomes for our global clientele. Our deep expertise in E2E testing services across industries like insurance, retail, BFSI, eCommerce, etc., makes us experts in utilizing the full capabilities of Playwright and Cypress frameworks. Our team of experts has extensive experience using both these frameworks to develop automation scripts that can streamline QA processes and reduce overall test run time.  

Depending upon the business requirements, we recommend that our clients use the fitted E2E test automation framework to ensure rapid and reliable test execution. Our team of experts can develop a customized automation framework using Playwright or Cypress, ensuring it is tailored to your specific needs. We can also create automation scripts that simulate real-world interactions with your application, ensuring it is tested thoroughly. Partnering with Tx ensures that you utilize the full potential of Playwright and Cypress based on your project requirements. 

Summary 

Playwright and Cypress are leading end-to-end testing frameworks for web applications. Playwright excels in cross-browser testing, parallel execution, and scalability, making it ideal for Agile teams. Cypress offers simplified debugging, interactive UI, and seamless front-end testing but lacks full cross-browser support. Playwright is better for comprehensive automation, while Cypress is suited for UI-focused testing. Businesses can maximize efficiency by selecting the right framework based on project needs. Tx provides expert automation services, leveraging both frameworks to ensure reliable test execution. Partnering with Tx enables businesses to optimize their QA strategy and achieve superior software quality. To learn how Tx can assist you, contact our E2E automation experts now. 

The post Playwright Vs Cypress For End-to-End Testing: Which Is Better first appeared on TestingXperts.

Today’s businesses need faster software feature releases to get high-quality products and wish to market early without compromising software quality. The faster release of new features or bug fixes in existing features necessitates robust end-to-end software testing to ensure successful deployments. While small applications or software can be handled through manual testing, large and complex applications need dedicated resources and technologies such as java or python testing framework, automation testing tools, etc. to ensure maximum test coverage in less time to get faster and quality releases.

To perform test automation, businesses should leverage robust test automation frameworks developed using different programming languages. Python is one such important language used to develop robust test automation frameworks. Testers widely use Python testing frameworks to get effective testing outcomes.

Python testing framework overview

Python testing framework is a dynamic test automation framework developed using Python programming language, which is considered easy to use for web development and test automation. Since Python is an open-source programming language, many frameworks are based on python, making it hard for testers to determine which test automation framework to choose from the variety of available options.

Why do testers prefer Python testing frameworks for test automation?

• Ease of usage and less verbose

• Comes with active community support

• Contains a vast library of frameworks

• Supports parallel testing

• Easy integration with CI/CD tools

• Supports several IDEs

• Based on The Zen of Python

Python testing framework building blocks

• Decorators

• Context managers

• Higher-order functions

• Introspection

• Advanced Python object concepts (magic methods, descriptors, etc.)

• Generators

• Iterator protocol

Comprehensive list of Python testing frameworks

Django:

It offers some distinguishing features like ORM, URL routing, and database schema migration, making Django highly scalable and versatile. Django offers ready-made components for rapid development, and the framework is embedded with enhanced security features.

Doctest:

It is a simple yet powerful python testing framework in which tests can be written in line with the code. Testers use Doctest to perform regression testing by confirming if the interactive examples from a test file or object work and perform as expected. As a result, the documented Python statements are converted into test cases.

Pyramid:

It is an open-source framework that can run well with small and large applications. Pyramid is a highly valued Python framework due to its extensive scalability, flexibility, and testability.

Flask:

This Python framework provides tools to facilitate the web development process. Flask is relatively easy to learn and understand and provides a great environment to build functional applications. Flask has a modular design, making it adaptable for various development processes. This platform provides integrated support for unit testing and has Google app engine compatibility.

CherryPy:

This object-oriented web framework provides a production-ready WSGI thread-polled web server. Python developers use this framework to create portable database-driven web apps. CherryPy has inbuilt tools for static content, encoding, caching, and testing.

Robot Python Testing Framework:

It is a test automation framework used for acceptance testing, acceptance test-driven development (ATDD), and Robotic Process Automation (RPA). It is based on the Keyword Driven Testing approach; thus, it allows testers to create test cases easily without any coding experience. It supports all OS and applications (web, mobile, and desktop).

Pytest:

It is a web automation testing framework that supports unit testing, functional testing, API testing, etc. Pytest supports the Test Driven Development approach and parallel test execution through the pytest-xdist plugin. Pytest is compatible with Unittest, PyUnit, and other Python testing frameworks.

PyUnit:

It is a default Python test framework part of the Python standard library. Unit test is a derivative of the xUnit framework and has some similarities. It comes with an easy installation and configuration option, thus making UnitTest Framework one of the most preferred Python Unit testing frameworks.

TestProject:

It is a free and open-source complete automation testing framework. Testers can quickly develop test cases for mobile, web, or generic automation using this framework. It is a single-agent executable and comes with third-party libraries needed to develop and execute test automation for web, mobile and generic. It generates free automatic reports in PDF and HTML formats.

Lettuce:

This Python behavior-driven development framework is based on Cucumber. It supports the Gherkin language, making it easier for non-technical testers to create automated tests.

Gauge:

This open-source framework was developed by the same people who created Selenium. It allows cross-browser functionality testing and can be easily integrated with DevOps CI/CD pipeline. It supports all major plugins, languages, and command lines.

Why Selenium with Python is a good choice for developing a Python framework?

Selenium is an open-source software testing tool that supports various operating systems and browsers like Chrome, Firefox, Safari, etc. It allows scripting in multiple languages like Java, Python, Ruby, C#, etc. Selenium is a tool suite with three components: Selenium IDE, Selenium WebDriver, and Selenium Grid. By leveraging the Selenium tool, testers can perform various tests, such as smoke, sanity, UI, regression, and more. Python language is used with Selenium to perform testing. Python API helps connect with the browser through Selenium. Python Selenium combination can be used to write functional/acceptance tests using Selenium WebDriver.

Reasons why Selenium and Python testing frameworks are preferred:

• Python is easy to code which makes test script creation extremely easy for testers and is used along with Selenium

• A large number of testers/programmers are well aware and familiar with Python language; therefore, they prefer Python with Selenium for test automation

• The binding of Python and Selenium offers a simple API to write functional tests by utilizing Selenium WebDriver

• Python is comparatively faster than other languages; thus, it makes Selenium automation testing very fast

• Active community support and open-source availability of Python language is another reason that makes it suitable with Selenium

What are the best practices for Python Unit Testing Frameworks?

• Prioritize writing test cases for sections with minimum dependencies on external resources

• Tests should be logical, simple, and independent of other tests

• Each unit test should be named precisely and documented appropriately

• Testers should create and run unit tests that cover exceptions

Basic testing types in Python

Unit Tests:

This tests specific methods and logic in the code. Unit tests are the most granular type of test with the goal of verifying the internal flow of the method, as well as making sure edge cases are being handled.

Feature Tests:

This tests the functionality of the component. A collection of unit tests may or may not represent a Feature test. The goal is to verify that the component meets the requirements given for it.

Integration Tests:

This tests the entire application end-to-end. The goal is to guarantee the stability of the application. When new code is added, integration tests should still pass with minimal effort.

Performance Tests:

This tests the efficiency of a piece of code, and the size of the code can range from a method to the whole application.

Conclusion

Python is an easy-to-use language with various features and community support, making it a great choice for test automation by testers. Thus, the automation testing framework developed in Python is considered a good choice for test automation. Python testing framework makes the test automation process easy and fast, which helps testers to test and release software faster. It ultimately enables businesses to achieve quality software in less time and deliver a great CX. Businesses should therefore leverage automation testing from a next-gen QA and software testing services provider to get superior products and reach the market early.

The post Python Testing Framework – An Informative Guide first appeared on TestingXperts.

Today’s businesses need high-quality software with faster time-to-market to beat the competition, which has increased the adoption of test automation. Businesses across industries leverage test automation, saving human effort and time by automating repetitive tasks and helps achieve test automation services for clients faster releases and quality software. However, testers make common mistakes while performing test automation, leading to its failure and significantly impacting business ROI. Therefore, it is essential to know the various common test automation challenges and how testers can overcome them in this blog.

An overview of test automation

Test automation is a technique of software testing wherein test automation frameworks and tools are used for executing the tests. Unlike manual testing, test automation does not require much human help as everything is performed automatically. The main aim of automation testing is to reduce the human effort consumed in performing mundane and repetitive tasks.

Test automation reduces regression testing time and speeds up the test execution process. This ultimately saves a lot of time, effort, and money.

7 major Test Automation challenges testers face

1. Selecting the right test automation tool:

Various test automation tools exist, but deciding which tool is best for your business needs or project is always challenging. Therefore, identifying the right test automation tool is one of the biggest challenges testers face.

2. Identifying the right test automation strategy:

There is no one-size-fits-all approach for automation testing strategy as it differs from business to business. Therefore, testers face challenges in preparing the right test automation strategy.

3. Setting high expectations from test automation:

It is one of the common challenges as testers who have just started their journey tend to keep high expectations from test automation and altogether avoid manual testing.

4. Initial investment cost:

Test automation requires a high initial investment cost as purchasing tools, and building frameworks might involve some investment. While later, there will not be any further cost involved, and reusable test assets can be easily created and maintained.

5. Diverse testing environments:

Today, users access apps with OS and platform combinations from different devices. Testers must test applications on all these devices and OS, making test automation quite challenging.

6. False positives and false negatives:

One of the significant challenges that testers face with test automation is false positives and negatives, resulting in flaky tests.

7. Lack of team collaboration:

Another challenge that testers face during test automation is the lack of seamless team collaboration. This usually happens when developers and testers work separately on a project and might not have a proper communication channel.

8. Prioritizing Test Case:

With increasingly shorter release cycles, the limited time for product testing can cause an automated testing framework to become overloaded, leading to delays and missed timelines due to failing test cases. Therefore, prioritizing test cases, particularly in Regression Testing, is crucial for efficiency.

How to overcome the above-stated test automation challenges?

1. Leverage industry-leading test automation tools:

It is always advised to go for industry-leading tools as they are trusted and used by several leading companies to overcome the challenge of selecting the right automation testing tool. Moreover, these tools come with excellent community support.

2. Evaluate carefully test automation need:

Testers must first identify the need for test automation, followed by business needs, current IT infra, technology stack, tools requirement, etc. to overcome the challenge of determining the right test automation strategy, and they can brainstorm on framing an effective test automation strategy.

3. Leverage manual testing and test automation as per need:

It is always best to adopt a combination of manual and automated testing to overcome the challenge of setting high-expectation from test automation. Not all situations demand automation testing.

4. Invest progressively in automation tools/technology:

It is best to invest progressively and adopt automation tools/technology rather than investing all at once to overcome the challenge of high initial investment costs.

5. Leverage cloud-based testing platforms and simulators and emulators:

It is best advised to leverage cloud-based testing platforms and simulators and emulators rather than sourcing real devices to overcome the challenge of testing an app in a diverse environment.

6. Properly manage test scripts, test cases, and testing environments:

It is always suggested to properly manage test scripts, test cases, and testing environments to overcome the challenge of flaky tests caused due to false positives or false negatives.

7. Embrace DevOps:

It is advised to embrace and adopt DevOps processes that break the silos between developers and testers and ensure seamless collaboration to overcome the challenge of poor team collaboration.

8. Implementing Regression Testing :

Regression testing ensures that updates or changes to the application’s code don’t disrupt its functionality, maintaining stability and overall feature performance. However, the high volume of regression tests necessitates Test Case Prioritization (TCP) to complete testing within a shortened timeframe.

What are some tester’s errors that cause test automation failures?

1. Aiming for 100% automation:

One of the common mistakes that testers make during test automation is trying to automate almost everything possible. However, in reality, 100% automation of test cases is not possible as some test cases should be performed manually.

2. Automating large test cases in a single go:

Sometimes, testers try to automate large test cases in one attempt, leading to automation testing failure.

3. Testing multiple things in a single test case:

Another common mistake testers make is testing various items in a single test case. This makes test cases weak and leads to test automation failure.

4. Being rigid with testing order:

If the testers are not flexible with the testing order and try to follow the same testing order for every test case and project, it might not work well and lead to test automation failure.

5. Selecting the tool just because it is open-source:

Sometimes testers choose open-source tools because they are free. But it is not the right approach for tool selection, which might also lead to test automation failure.

6. Overlooking test case validation:

Testers often create automation scripts without validation checks, another reason for test automation failure.

7. Not maintaining the test automation suite:

As the software progresses, test cases become complex, and the test automation suite tends to grow. However, if a tester does not maintain or regularly update the test automation suite, it can lead to test automation failure.

How can testers avoid the above-stated test automation errors?

1. Adopt the right mix of manual and automation testing:

Testers should ensure the right combination of manual and automation testing and must not aim for 100% automation to reduce the chances of test automation failure.

2. Gradually increase test automation:

Testers should not automate significant test cases in a single go and must slowly increase the intensity of test automation to ensure successful test automation.

3. Slowly add new test cases to your test suite:

Testers must not test multiple things in a single test case; instead, they should add new test cases gradually to their test automation suite.

4. Ensure flexibility with test order:

Testing order does not matter during test automation; therefore, testers should ensure flexibility with the test order during automation.

5. Select a combination of open-source and commercial tools:

Open-source tools are good but commercial tools have their benefits. Therefore, testers should explore various tools and then pick the right combination of open-source and commercial tools for test automation.

6. Validate the test scripts:

Testers must validate test scripts to determine what is expected and what is achieved with automation testing. This process ensures the success of the automation testing process.

7. Regularly maintain the test automation suite:

Testers must regularly update and maintain a reliable test suite to ensure successful test automation.

Functional & Non-functional automation testing types for businesses to leverage

Functional Automation types:

• Functional testing:

It is performed to verify the functionality of an application to ensure the app functions seamlessly and delivers a great customer experience.

• Regression testing:

It is performed to ensure no existing features are affected even after frequent changes in the software’s functionality.

• Mobile application testing:

In this testing type, several tests are performed on mobile apps to ensure their compatibility, functionality, and reliability across devices and OS.

Non-Functional Automation types:

• Performance and load testing:

This test is performed to check the speed, responsiveness, reliability, and stability of an app under fluctuating networks, bandwidths, and user loads.

• Security testing:

The main aim of this test is to ensure that the applications are free from all vulnerabilities and security loopholes. The security tests are vulnerability tests, penetration tests, scanning, auditing, etc.

• Usability testing:

This test is performed to ensure proper app navigation, active links, and the proper usability of an app.

• Accessibility testing:

Business apps should be accessible to everyone, including people with specific disabilities like hearing loss, impaired vision, cognitive disabilities, etc. This testing method ensures that the app follows all accessibility guidelines like W3C’s WCAG 1.0/2.0/2.1/2.2, BITV 1.0, Section 508 & Stanca Act, etc.

This test method ensures equal access to apps for all and helps expand the user base.

Major test automation tools to leverage

1. UiPath Test Suite:

It is an open-source RPA testing tool that can automate any desktop or web app. This RPA tool offers a complete suite for functional testing under one roof. The test suite contains StudioPro, Orchestrator, Test Management Hub, and Test Manager. UiPath can be hosted in virtual terminals or cloud environments and works well with .Net, Java, Flash, PDF, Legacy, SAP, etc.

2. Tricentis TOSCA:

It is an AI-driven, next-gen test automation testing tool that allows Agile and DevOps teams to achieve test automation goals rapidly. This tool enables teams to go beyond continuous testing with AI. Tricentis allows automating end-to-end testing of software applications. This tool combines multiple aspects of software testing (test case design, test automation, test data design and generation, and analytics) to test GUIs and APIs from a business perspective.

3. Selenium:

It is an open-source web automation tool and supports all OS like Windows, MAC, Linux, etc., and web browsers like Chrome, Firefox, Internet Explorer, etc. It comes with a record and playback feature that helps test web applications. Testers can run various scripts in parallel using Selenium, making the test automation process faster. Code can be written in Java, PHP, C#, Python, Ruby, Perl, etc.

4. Ranorex:

It is an all-in-one test automation tool for desktop, mobile, and web. This tool allows codeless test automation and can be used for testing software functionality. This software testing tool supports cross-browser and cross-platform testing. Ranorex easily integrates with the DevOps pipeline.

5. TestComplete:

It is a widely used test automation tool for mobile, desktop, and web. This tool supports various languages and can be used to perform keyword-driven and data-driven testing.

Conclusion

Test automation undoubtedly has become the need of an hour for all businesses as it helps achieve high-quality software. Automation testing reduces regression time and ensures the faster releases of quality software. Testers today prefer test automation as it saves them from repetitive mundane tasks. However, there are some human error by testers which may lead to testing automation failure. Some of these bugs can be avoided by adopting best test automation practices. Businesses can leverage test automation from a next-gen QA and for quality software and a great CX.

How can TestingXperts help to overcome your Test Automation Challenges?

• TestingXperts (Tx) has enabled test automation services for majority of its clients across industries.

• Tx has expert QA teams with expertise in all leading open-source and commercial automation tools.

• Tx has an in-house extensible automation framework, Tx-Automate, (modular, reusable, and compatible) that can be customized based on the business need.

• Tx has many tool partnerships with leading enterprise tools such as UiPath Test Suite, Tricentis, AccelQ, etc., which ensures seamless test automation services and competitive pricing.

• Our test automation engineers have enabled the RPA UiPath Test Automation framework for global clients such as Spotify, a leading audio streaming company in Sweden and the US.

• Tx would be a one-stop solution for all your automation software testing needs. Get in touch with our automation experts to know more.

The post How to Avoid Common Test Automation Challenges and Failures? first appeared on TestingXperts.

Content

1. 1. Mobile Test Automation
   2. What are the Benefits of automating mobile app testing?
   3. What are the basic considerations that should be followed for mobile test automation?
   4. How to automate mobile app testing?
   5. Various mobile app testing types to leverage
   6. What challenges do testers face while automating mobile app testing?
   7. How to overcome the above challenges with best practices for automated mobile app testing?
   8. Major automation testing tools for mobile application testing
   9. Conclusion

In today’s technologically advancing world, the usage of mobile apps is continuously growing, and these apps have become an indispensable part of human lives. Mobile apps provide a great convenience to users with seamless on-the-go transactions for various activities. More importantly, businesses should ensure their mobile apps are user-friendly, scalable, and fully functional to deliver a great user experience (UX). However, mobile apps often fail to provide a great UX due to various issues such as slow loading speed, security loopholes, poor performance, broken links, poor app navigation, etc. Therefore, removing these issues from mobile apps is vital for enabling a seamless UX. Hence, businesses should leverage automated mobile app testing to get scalable, robust, and fully functional mobile apps.

Mobile Test Automation

Test automation is a software testing technique wherein automated software testing tools are used for testing different types of mobile apps developed for handheld devices. Usually, there are three main types of mobile apps, i.e., native, hybrid, and web apps, and test automation can be performed for all mobile app types. Mobile test automation ensures the proper functioning of these apps and improves their quality, usability, performance, security, and reliability. There are many benefits to leveraging automated mobile app testing for businesses.

Benefits of automating mobile app testing

Ensures faster releases:

By automating the mobile app testing process, repetitive tasks are automated, saving significant time and speeding up the test execution process, and enabling faster releases.

Ensures faster releases:

Automating tasks significantly reduces the overall regression time.

Improves app functionality:

Automated mobile app testing involves thorough validation of app functionality and ensures there are no functionality-related errors or bugs. Thus it provides the functioning of mobile apps.

Ensures app security:

Mobile app security loopholes can lead to customer credentials/identity loss and bring monetary and reputational loss to businesses. By automating the security testing of mobile apps, security loopholes in an app can be easily identified and removed.

Boosts app performance:

During automated mobile app testing, several performance tests are conducted to ensure no performance bottlenecks exist in an application and that the app performs well under all user loads.

Increases app scalability:

Automated load testing is also performed on mobile applications to handle user load fluctuations effectively and accommodates high user load without displaying any performance issues.

Ensures faster app loading:

Slow loading speed of mobile apps hampers the UX; thus, mobile app providers need to provide a faster-loading speed for all android and iOS apps. Automated mobile app testing ensures a faster loading speed by removing bugs from the app.

Improves app usability:

Automated mobile app testing ensures proper app navigation, proper placement of multimedia files, active links, correct color contrast, high-quality images, etc., which makes the app user-friendly and improves its usability.

Validates app compatibility:

Mobile apps should be compatible with all OS, browsers, and devices to deliver a great UX. Mobile compatibility testing ensures app compatibility across all device-OS combinations.

Saves costs:

Test automation of mobile apps save businesses from sudden app failures or app crashes, which saves a lot of the expenses for businesses and protects the brand reputation.

Saves time:

Automated testing saves testers from repetitive mundane tasks and ensures faster test execution.QA testers can utilize this time for solving high-priority and other complex tasks.

As detailed above, mobile app test automation has many benefits, and businesses must leverage them. However, a few points must be considered to ensure successful test automation of mobile apps.

What are the basic considerations that should be followed for mobile test automation?

•Test mobile apps on real devices along with simulators and emulators

•Test mobile apps on various OS versions

•Test mobile apps on various device fragmentations

•Test mobile apps on multiple networks

•Test mobile apps for multiple locations

•Test mobile apps for varying screen dimensions and other specifications

Along with these factors, the success of mobile app testing relies heavily on the testing strategy. Therefore, it is essential to follow the below-mentioned steps for a successful mobile app testing process.

How to automate mobile app testing?

Create a test plan and identify testing types

It is essential to create a test plan by choosing the target devices with varying screen sizes for mobile app testing. It is also necessary to determine what type of testing is to be conducted on the mobile app, such as front-end, back-end, functional, etc. Testers should identify whether the mobile app under test is a native, hybrid, or web app.

Develop test scripts and test cases

The next step is to develop the test cases for every application function. Test cases should also include battery usage, app speed, memory, etc. Automated test scripts should be developed, and these reusable automation test scripts can be changed according to the project requirements.

Setup the test environment:

It is important to download, install and configure the application on the testing device to set up the test environment. Also, establish the test version of the app before starting the actual mobile app testing process.

Execute various types of tests:

Finally, testers should execute the tests leveraging various test automation tools. There are different types of tests that are executed on mobile apps.

Various mobile app testing types to leverage

Functional testing

In this software testing type, the functional aspects of the software are validated to ensure the app functions properly under all conditions.

Usability testing

The main aim of this testing type is to ensure an app delivers a great UX to users.

UI testing

This test ensures users face no difficulty accessing the app. It also delivers e a highly responsive UI of an app.

User acceptance testing

The main aim of acceptance tests is to ensure an app is acceptable to end-users. During this test, end-users are involved in the testing process, and their reactions or responses are recorded to further improve the quality of an app.

Performance and load testing

This test is performed to ensure effective app performance and load handling capacity of an app under various conditions like fluctuating networks, varying bandwidths, increased user loads, etc.

Security testing

The main aim of this test is to remove security flaws or loopholes from an app to ensure its protection from cyberattacks.

Accessibility testing

This test is performed to ensure an app complies with accessibility guidelines such as WCAG 2.1, 2,2, ADA act, STANCA act, etc. This software testing type ensures an app is equally accessible by all people, including people with specific disabilities such as partial blindness, motor limitations, cognitive disabilities, etc.

Digital testing

This testing type covers the entire gamut of software testing and is essential for digital apps. It ensures the effective functioning, performance, security, usability, and accessibility of digital apps.

Cloud Testing

This test ensures an app’s proper functioning, security, and performance under cloud networks.

However, while executing the above mobile tests, the testers face some challenges. Below are details about those challenges and how to overcome such challenges.

What challenges do testers face while performing mobile automation testing?

Device-OS fragmentations:

Today, users access mobile apps from different devices and OS mobile platform combinations. Hence, testers need to test mobile applications on all types of devices and OS fragmentations which sometimes becomes quite challenging.

Selecting the right test automation tool:

There are various test automation tools, but which test is best for a particular mobile app or project is always tough to decide.

Identifying the right test automation strategy:

There is no one size fit for all approaches to testing automation strategy as it differs with domains and project needs. Therefore, testers face challenges in preparing the right test automation strategy.

False positives and false negatives:

One of the major challenges testers face with test automation is false positives and false negatives, resulting in flaky tests.

Lack of team collaboration:

Another challenge that testers face during test automation is the lack of proper team collaboration. This usually happens when developers and testers work separately on a project.

How to overcome the above challenges with best practices for automated mobile app testing?

Leverage cloud-based testing platforms/simulators and emulators:

Testers can overcome the challenge of testing mobile apps on various device-OS fragmentations by leveraging cloud-based testing platforms and using simulators and emulators.

Select the right test automation tool/testing frameworks:

Testers can overcome the challenge of selecting the right automation testing tool by leveraging industry-leading open source and commercial tools by properly analyzing their need and proper project evaluation.

Evaluate carefully the need for test automation:

Testers should identify the test automation needs, business needs, current IT infra, technology stack, tools requirement, etc., to prepare a successful mobile app test automation strategy.

Leverage script-less mobile test automation tools:

Testers can leverage advanced script-less test automation tools or even reuse the test scripts developed previously by some testers for similar tests to overcome the challenge of test script creation.

Embrace the DevOps process:

It is preferred to embrace DevOps, as it breaks the silos between developers and testers and ensures collaboration between them, resulting in successful test automation of mobile apps.

Major automation testing tools for mobile application testing

Tricentis Tosca:

It is a continuous testing platform used to design automated, functional, and end-to-end software tests. This testing tool allows codeless testing for any mobile app with the help of a simple drag/drop functionality. Tricentis Tosca allows testing of native, hybrid, and web applications on iOS and Android devices, including mobile cross-browser testing. It allows scaling mobile testing efforts by enabling testers to run tests in the local environment or seamlessly execute tests in the cloud on any device, simulator, or emulator.

Appium:

It is an open-source automated testing tool for testing mobile applications. This tool supports the automation of native, hybrid, and mobile web applications built for iOS and Android. This tool uses vendor-provided automation frameworks and is based on server architecture. Appium released its latest version in January 2020 – Appium 1.16.0, which allows beta support for flutter, iOS simulator geolocation setting for testing, and Safari weblogs capabilities.

TestComplete:

It is one of the easy-to-use tools, and it helps in automating tests for mobile apps, desktop, and web applications. This tool provides maximum test coverage with a hybrid object and visual recognition engine. It allows scripting in various programming languages, like Python, JavaScript, Delphi Script, C++Script & C# Script.

Ranorex Studio:

It is an all-in-one automation testing tool, and it powers on a selenium web driver with capabilities like UI object recognition, intuitive interface, and full IDE. This tool also has a record and playback feature which helps in easy automation. Ranorex allows cross-platform testing and is used for end-to-end testing on web, desktop, mobile, and APIs

Conclusion

The growing usage of mobile apps and rising customer demand for seamless apps for a great UX increased the need for robust testing of mobile apps for today’s businesses. Therefore, today it has become essential for businesses to leverage effective mobile test automation to get scalable, robust, and high-performing mobile apps.Companies should leverage software automation testing for mobile apps from a next-gen QA and software testing services provider for quality mobile apps enabling a great UX. Undoubtedly mobile automation testing improves the app quality and helps in delivering a great UX.

The post Test Automation for Mobile Apps first appeared on TestingXperts.

Content

1. What is automation testing using Python?
2. What are the best programming languages preferred for automation testing?
3. Python’s importance for automated software testing
4. How to configure using Python?
5. Why do testers prefer automated software testing with Python?
6. Python testing frameworks for automation testing
7. Conclusion

What is automation testing using Python?

Automation testing is a software testing method in which automated tools, frameworks, and scripts are used for testing the software. In this software testing technique, reusable test scripts are developed to test the app functionality, thus reducing the overall regression time and helping with faster software releases. Leveraging test automation reduces regression time and quality releases within the testing life cycle.

Various programming languages are used for creating automated test scripts, including Python, C#, Ruby, Java, etc. But, Python is a simple-to-use programming language, easy to learn, and has more resemblance to the English language. Moreover, Python is an open-source language with an approachable syntax that’s easy to read and understand relative to other programming languages. It is more preferred by testers for automated software testing, while other programming languages can also be used for automation testing.

What are the best programming languages preferred for automation testing?

1. Python:

It is an open-source programming language for test automation of web and desktop applications, machine learning, network servers, media tools, and test automation. It is an easy-to-use language and comes with vast library support.

2. Java:

This is one of the most popular programming languages for test automation. It works on the WORA (Write Once, Run Anywhere) principle, making cross-platform testing very easy. It comes with complete test frameworks, packages, and information sources.

3. C#:

It is an object-oriented programming language used to develop web and desktop applications. It is also one of the most widely used programming languages for test automation. It is best suited for windows, android, and iOS applications/platforms.

4. Ruby:

It is an open-source programming language; this language is slowly gaining attention from testers worldwide. This language is known for its simplicity and productivity and is easy to use, making it one of the easy-to-use programming languages.

5. Java Script:

It is another commonly used programming language for test automation and front-end development. One of the major reasons why testers prefer Java Script is that it supports shift-left methodologies where developers are involved in test code development.

But, Python is the most preferred language among all the above mentioned.

Python’s importance for automated software testing

1. This language has many built-in testing frameworks, such as Pytest, Robot, etc., which ensures faster  debugging and the creation of faster workflows

2. It is an interpreted language and implements the code line by line, which makes the debugging easy

3. As it is a cross-platform language, it can run on different platforms like Windows, Linux, and Mac

4. It can also be easily implemented with other programming languages such as C, C++, JAVA, etc.

How to configure using Python?

1. Quickly download and install Python on the OS

2. Install Selenium libraries in Python

3. Download and install Pycharm editor

4. Create one new project and write the Selenium test scripts

5. Run the test scripts and finally validate them

Why do testers prefer automated software testing with Python?

1. Easy to use and less verbose:

Python is comparatively easy to learn and use language. It is best suggested for beginners who want to learn software programming languages.

2. Active community support:

Python comes with active community support that offers technical help at no cost, making it the most preferred language for test automation.

3. Comes with a set of tools, frameworks, and libraries:

Python comes with a vast library of frameworks. PyUnit or Unittest is a default framework in Python for test automation. Apart from this, Python supports various other frameworks for test automation, such as PyTest, Behave, Robot, Lettuce, Nose2, Testify, etc.

4. Allows parallel testing:

Python supports parallel testing across browsers and operating systems for test automation, making it one of the most preferred languages for automation testing by testers.

5. Easily integrates with CI/CD tools:

The Python ecosystem contains tools that can be easily integrated with CI/CD tools like Jenkins, which is one of the added advantages of Python.

6. Supports a wide range of IDEs:

Python comes with a wide range of IDEs for test automation, and one of the most preferred IDE for test automation is PyCharm.

7. The Zen of Python is ideal for programming:

According to Wikipedia, The Zen of Python is a collection of 19 “guiding principles” for writing computer programs that influence the design of the Python programming language. These guidelines contain basic rules that testers can make automated test scripts very efficient and conduct test automation seamlessly.

Python testing frameworks for automation testing

1. Robot Framework:

It is an open-source test automation framework used for user acceptance testing, acceptance test-driven development (ATDD), and

2. Pytest:

It is an open-source web automation testing framework that supports unit testing, functional testing, API testing, etc. Pytest can be used for simple as well as complex functional test cases. It supports the Test Driven Development approach and supports parallel test execution through the pytest-xdist plugin. Pytest is compatible with other Python testing frameworks such as Unittest or Pyunit.

3. Unittest or PyUnit:

It is a default Python testing framework part of the Python standard library. Unittest is a derivative of xUnit framework and has some similarities with it. It comes with an easy installation and Configuration option, making UnitTest Framework one of the most preferred Python Unit testing frameworks.

4. TestProject:

It is an open-source complete automation testing framework. Testers can easily develop test cases for mobile, web, or generic automation using this test framework. It is a single-agent executable framework and comes with third-party libraries that are needed to develop and execute test automation for web, mobile and generic. It generates free automatic reports in PDF and HTML formats

5. Nose2:

It is a Python-based unit testing framework that can be used to run DocTests and UnitTests. Nose2 is a Domain-Specific Language (DSL) for writing functional tests and has an inbuilt plugin ecosystem that makes testing simple and faster.

6. Behave:

It is one of the most widely used Python behavior-driven development testing frameworks. This framework allows testers to write test cases in an easy and understandable language and has good documentation support.

7. Testify:

Testify is a replacement for Unittest and Nose. It has more advanced features than Unittest. This framework can be used for unit testing, system testing, and integration testing.

8. Lettuce:

It is a Python behavior-driven development framework based on Cucumber. It supports the Gherkin language. Testers with a non-technical background can easily use this language to create automated tests.

Conclusion

In earlier days, the testers were expected to know complex programming languages to perform software testing. Today, various programming languages are available and by leveraging them today’s testers can execute automated tests with much ease.

Python is one such programming language for automated software testing, which is easy to learn and use. It makes automated software testing easier, even for testers that have just started their journey in software testing. If you are looking for Automation testing using Python, speak to our experts and we can help.

The post An Overview of Automation Testing Using Python first appeared on TestingXperts.

Today’s businesses leverage technologies like Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Robotic Process Automation (RPA) for automating their tasks and other business processes. Though these next-gen technologies have helped businesses achieve their goals, as we advance, companies need to upgrade themselves by adopting Intelligent Automation(IA), which typically combines the power of AI, ML, RPA, and other advanced technologies.

Content

1. An overview of Intelligent Automation
2. Differences of Intelligent Automation with RPA and Hyperautomation
3. Why should businesses leverage Intelligent Automation?
4. How Intelligent Automation is transforming the BFSI industry?
5. An overview of Intelligent Automation Testing types
6. Conclusion

An overview of Intelligent Automation

Intelligent Automation, also known as cognitive automation combines advanced technologies like: – RPA, – BPM, – AI, – ML, – Analytics, – OCR, – ICR, – Process mining to create end-to-end business processes that think, learn, and adapt on their own. Moreover, this intelligent automation accelerates digital transformation, automates repetitive tasks, ensures freeing up resources, improves operational efficiency, and effectively simplifies various business processes.

Differences of Intelligent Automation with RPA and Hyperautomation

Why should businesses leverage Intelligent Automation?

Streamlines back-office processes and increases efficiency:

Intelligent automation can speed up business processes and streamline tasks per business needs, ultimately increasing process efficiency.

Improves customer service:

This technology helps businesses get real-time access to customer information, accelerate the resolution of customer requests, and help identify additional product/service needs.

Frees-up employees for higher-value work:

Intelligent automation can effectively handle routine and repetitive business tasks without any manual intervention. Thus, it can free up employees from mundane tasks and help them focus on high-priority tasks.

Improves governance and fraud detection:

With the help of intelligent automation, fraudulent or suspicious activities can be identified early in banks and financial organizations. Leveraging this technology helps businesses gain more security and safety of their systems against fraudulent activities.

Interprets big data:

Data acts as a fuel for every business, and its correct interpretation is necessary for business leaders to make informed decisions. However, interpreting big data manually is a challenging task. Intelligent automation can effectively handle and interpret a large amount of data in no time, which would take hours for humans to manage.

Helps in decision-making:

This technology utilizes AI and ML technologies that enable machines to learn, think, and act just like humans. Thus, it augments human decision-making capabilities and helps humans make better-informed decisions.

Reduces cost & saves time:

Another reason for C-suite members to consider intelligent automation is that it helps in reducing costs and saves a lot of time. As most repetitive business processes are automated, it also saves costs significantly. Since most of the repetitive business tasks are automated, employees can focus on other higher-value tasks, which saves high costs for businesses.

How Intelligent Automation is transforming the BFSI industry?

Intelligent automation is now leveraged across industries and impacts the BFSI sector significantly. Since the BFSI sector plays a vital role in the economy, there is constant pressure on BFSI institutions to improve business performance and lower operational costs. Due to the complexities of data, increased regulatory scrutiny, back-office inefficiencies, and outdated legacy systems, the BFSI sector faces many challenges. The BFSI sector needs to leverage intelligent automation testing to overcome these challenges. This technology helps BFSI institutions reduce costs, boost overall business performance, and deliver a great experience to employees and customers.

1. Banking Sector:

• Frees up banking team for higher-value work: Employees in banks have to regularly deal with repetitive and time-consuming tasks such as entering customer details, KYC process, etc. But, with the help of IA, various tasks can be automated and completed with much accuracy and at a faster pace. This frees up employees and allows them to focus on other high-value tasks.

• Allows customers to open a bank account remotely: Gone are the days when customers need to visit the bank to open bank accounts. But, now, with IA in place, customers can open their accounts remotely. Customers need to complete online KYC, submit required documents, fill in the necessary details and open their accounts in no time.

• Eases general ledger: Banking employees have to regularly maintain and update the ledger daily, a time-consuming and critical task. With the help of IA, banks can collect, update and validate large amounts of information from multiple sources faster and more effectively.

2. Finance Sector:

• Eases the application validation process: Employees working in the finance department have to manually validate applications that consume a lot of time and effort. But with IA technologies such as OCR, NLP, Intelligent Document Processing (IDP), etc., documents can be automatically processed easily in no time.

• Helps in detecting fraudulent activities: IA solutions can continuously monitor real-time transactions and can analyze the patterns of these transactions that help in detecting fraudulent activities such as anti-money laundering, frequent deposits of large amounts, frequent withdrawals, etc. It can also alert the concerned party and help prevent financial fraud in Fintech businesses.

• Eases financial audits: Finance audits are very complex and involve evaluating financial statements, tax calculations, checking amounts payable, and more. With IA, these tasks can be effectively automated, and chances of human-prone errors can be removed.

3. Insurance Sector:

• Makes credit risk assessment accurate and reliable: IA in the insurance sector plays an important role. This technology can intelligently screen prospective borrowers and assign them a risk score based on their ability to repay loan amounts. This process further helps various institutions to make an informed decision regarding credit/loan approval/rejection.

• Ensures faster claim processing: Claim processing is a complex and time-consuming task. Typically, insurance agents need several days to gather data and process claims. But with the help of IA, claim processing and even settlements can be done faster and more effectively without any risk or manual errors.

• Provides intelligent insights: IA tracks and records customer journey and makes insightful recommendations to suggest policies suitable to customer needs based on these recommendations. This further helps customers to manage their insurance money better and ultimately enhances the customer experience (CX)

Other industries where Intelligent Automation is making an impact

1. eCommerce:

• IA utilizes the power of AI technology that records the customer data and their shopping journey and makes recommendations each time customers visit the site for shopping.

• It helps businesses to make decisions about procurement by predicting demand and supply.

• It also enables seamless checkout with their shopping carts while smart algorithms calculate the amount to be charged and ensure seamless transactions to users.

2. Manufacturing:

• Physical and digital robots driven by IA are used to perform various tasks and replace/supplement humans in the manufacturing sector.

• Digital bots help manufacturers process a large amount of data and streamline the ordering process, procurement, appointment scheduling, and alerting.

• It also enables predictive analytics, utilizes machine vision technology, and enables quality inspection that is much more reliable and detailed than humans.

3. Logistics and Transportation

• IA helps truck drivers find the fastest and most cost-efficient routes by utilizing the power of analytics and predictive insights.

• IA has made the concept of self-driving cars into reality, and even drone delivery has been made possible due to the AI technology behind IA.

4. Healthcare

• The healthcare industry is rapidly using AI and RPA technology that goes behind IA to provide better patient outcomes and services.

• AI-powered chatbots are used to make appointments with doctors and provide online consultations.

• Intelligent bots are used to perform surgeries on the head, neck, eye, etc.

• Advanced AI technologies are being leveraged to enable accurate analysis of medical images, such as CT scans, MRIs, and X-rays, which significantly reduce the chances of human error.

5. Telecom

• The Telecom sector has always been data-intensive, and IA helps manage large amounts of data effectively.

• Automated call centers powered by advanced technologies reduce wait time for customers, accelerate the customer query resolution process and enhance the CX.

• IA also helps telecom service providers improve the quality of their network operations by automating the testing, addressing, remediation, and maintenance procedures.

• Intelligent Automation plays a major role across industries and AI-powered apps and solutions must be properly tested to ensure greater outcomes for businesses.

An overview of Intelligent Automation Testing types

UiPath Test Suite based Test Automation:

UiPath has come up with its UiPath Test Suite, which has many advanced features to support enterprise test automation. The UiPath test suite consists of Test Manager, Studio Pro, Orchestrator, Robots, and other Test Studio Components. By leveraging UiPath Test Suite based test automation, businesses can achieve up to 30% faster test execution, up to 40% lesser maintenance effort, and up to 70% faster test creation and more

AI Testing:

As businesses continue to adopt AI-powered smart applications, the need for end-to-end AI testing to ensure fully functional and high-performing AI systems is rising. Businesses can ensure proper functionality and effective performance of AI-powered smart apps and bots by leveraging AI testing.

AI-Based testing:

It is an intelligent software testing method in which advanced technologies like AI, ML are used for testing the software. These advanced technologies ensure faster and effective testing outcomes and quality solutions.

RPA Testing:

Today, businesses across industries are leveraging bots to automate repetitive tasks and perform various tasks without human intervention. But, to ensure the proper functioning and reliable performance of these bots, RPA testing is necessary. Bots are tested thoroughly leveraging RPA testing to ensure seamless bot functioning and performance.

Conclusion

Intelligent Automation driven by cognitive and digital capabilities is changing the future of all industries, especially for the banking, financial, and insurance sectors. This technology is one of the significant drivers accelerating business growth and ensures a great customer experience. The combination of AI and RPA’s strength in the form of Intelligent Automation is helping businesses improve the quality, speed, and productivity of processes. While some businesses have already realized its importance, others need to adopt it. If you are an enterprise looking for intelligent automation testing, TestingXperts (Tx) can be your one-stop solution.

Tx is a proud partner of UiPath and has been providing UiPath process automation leveraging various UiPath tools to speed up the testing process. Our teams have hands-on experience with the UiPath test suite and provide next-gen intelligent automation testing services to clients across industry domains. We also have an in-house AI-enabled comprehensive platform – Tx-SmarTest that systematically caters to faster releases enabled with DevOps CI/CD implementation. This platform significantly helps boost the software quality through production, which is enabled by combining AI, ML, Deep Learning, and Neural network algorithms.

The post How Intelligent Automation Is Transforming The BFSI Industry first appeared on TestingXperts.

1. What is Automated UI Testing and Web UI Testing?

2. Benefits of Automated UI Testing

3. Why Should Businesses Leverage Automated UI Testing for Web?

4. Challenges with Web UI Automation Testing

5. How to Overcome Web UI Automation Challenges?

6. What is the Importance of tools in Automated UI Testing for web?

7. Some of the leading Web UI Automation Testing Tools

8. Conclusion

What is Automated UI Testing and Web UI Testing?

Today, businesses are mostly dependent on their website or mobile applications. These modes of business activities revolve around customer interactions, order processing, and transaction processing.

Thus, these channels become an important revenue stream for businesses. In recent years, there has been migration from traditional desktop applications towards other forms of web-based apps and mobile applications. Today, businesses are in a need for automating web-based tests in their testing processes. This helps to gain an effective user interface (UI) and evidently delivers great user experience (UX) to end-users.

This effectiveness can all be achieved by leveraging web automated testing. UI Testing is the process used to test the graphical user interface(UI) for any defects. Since automation is in demand globally, one of the important methods of UI testing is Web UI automation testing which is used to verify and validate the UI components of various web-based applications. Today’s end-user will appreciate websites, web-based apps or test automation mobile apps, only if they deliver great UX along with an effective UI that enables seamless performance.

Basically, the web UI testing revolves around the graphical user interface (GUI) testing that includes testing of both the functionality and usability of the website or the web app. By specifically using web UI testing, it refers to testing GUI elements like fonts, layouts, buttons, checkboxes, images, colours, etc.

Typically, this web UI testing process concentrates on how the look-and-feel of the website appears to end-users. When the web UI testing is done by using automated web UI testing tools then it is comprehensively named as automated web UI testing.

Benefits of Automated UI Testing

1. Results are accurate:

UI testing ensures that the testing of the user interface is carried out through a well-defined test strategy. This ensures that the entire UI testing activity comes out to be highly productive.

2. Improved coverage:

Through the implementation of UI testing, there is improved coverage as different tests such as functional tests, performance and stress tests, unit tests can be carried out on various devices at a faster rate.

3. Finding errors:

Finding regression errors is one of the main benefits of UI testing, as a lot of time is saved through faster detection of regression errors in the development process.

4. Detecting behaviour differences:

Behaviour differences can be detected between platforms such as Windows/Mac/Java versions, different operating systems and different web browsers.

5. Increased efficiency:

The entire process of UI testing is efficient as the bugs are detected early and testing issues are solved quickly.

Why Should Businesses Leverage Automated UI Testing for Web?

Website UI testing is required to ensure the effective performance of the website and automated website testing is preferred today as this process ensures better test coverage and faster test execution. Automated UI testing for web using automation tools ensures that the web app meets the design and development specifications and ensures a user-friendly website to end-users.

Hence, this sort of automated web application UI testing is performed to find defects either in the functionality or in the design of the website quickly. This web testing process is quite critical to achieving high-quality websites, but the testers face certain challenges while performing automated UI testing for the Web.

Challenges with Web UI Automation Testing

Though automated web UI testing is very important, this process involves certain challenges that should be handled by the testers. Testers should carefully follow the UI testing checklist for the web application and follow the testing process as it includes certain challenges.

1. Multiple error handling:

Error handling is a tedious process with web UI automated testing. Especially when there are large projects with complex scenarios then typically error handling becomes tough.

2. Handling of frequent changes in UI and maintaining UI test scripts:

It is a known fact that web applications’ UI is prone to changes in terms of logic, adding new features, new integrations, or due to new functionalities during the development process Thus, the UI is more prone to changes and the UI testing scripts maintenance becomes a challenge.

3. Image comparison:

Handling of image comparisons is an important aspect of automated UI testing. It is a crucial factor as pixel variations in size, color, shape, and formats should be handled effectively while testing website UI.

4. Testing UI elements:

Web UI automation testers often face a lot of hardships while testing UI elements.

5. Longer test script execution time:

Typically, web UI automation requires more execution time depending on the number of test cases, and often it takes more time for execution.

6. Increasing testing complexity:

As today’s modern applications have complex features such as embedded frames, maps, flowcharts, diagrams and more. These make the UI tests to become more difficult and challenging while testing them.

7. ROI of UI Automation:

It is a fact that application UI keeps changing and simultaneously the test scripts should also be changed. This primarily increases the time spent on Web UI testing and it becomes difficult to calculate the ROI while continuously performing these UI tests.

How to Overcome Web UI Automation Challenges?

1. Choose right UI test automation tool:

It is essential to choose the right framework for web UI automation. Choose a right automation tool that easily integrates into your workflow. Moreover, selecting an effective web UI automation tool helps to record and playback the modules. It also helps the testers and QA teams to generate reports with screenshots to identify error sequences quickly.

2. Prefer to choose codeless automation testing tools:

It is necessary to prefer codeless web UI automation tools as these codeless UI automation tools eases the process of script maintenance, and testers can save both time and cost.

3. Choose Common UI Elements to ease UI testing process:

It is preferred that developers should use common UI elements such that it becomes easy for testers to understand them quickly without any difficulty.

4. Leverage an object repository:

It is preferred to choose a shared repository to reduce test maintenance and reduce the associated costs. In order to ensure effective UI test cases success, it is better to reduce the UI test cases in the initial testing stages and then slowly increase them as testing moves forward.

5. Maintain standard organizational-level best test automation practices:

It is necessary to maintain and follow the best code review processes across the enterprise to ensure best test automation practices are adopted. Automated UI testing for Web is enabled by using various web UI automation testing tools which deliver numerous benefits while testing web applications.

What is the Importance of tools in Automated UI Testing for web?

1. Eases image comparison process:

For today’s modern applications, image comparison is vital and usually these images on a web application are either with a URL or with other images. Therefore, web UI automation tools can be used to support and ease image comparison.

2. Effective for functional testing:

End-users like web apps that have a simple and easy to use navigation which is possible with good functionality. Automated UI testing tools can be used to get information with respect to the functionality of web apps.

3. Supports cross-browser/platform testing:

These automated web UI tools support testing on multiple browsers, multiple platforms and also on various latest devices. The web apps are tested for their performance across browsers and platforms to know their compatibility.

4. Easily Integrates with bug-tracking tools:

UI test automation tools support integration with bug tracking tools such as Bugzilla, JIRA, Mantis, Quality Center, etc. Evidently, this integration helps to log defects into any of the bug tracking tools and thus it becomes easy to track them.

5. Uniquely used for captcha automation:

It is an effective security measure across websites to enter captcha so as to block robots and ensure human angle in the website visitor. UI testing tools support captcha automation and introducing web UI tools with captcha codes becomes essential for businesses.

6. Helps to quickly generate reports:

These web UI application testing tools can be used to quickly get visual reports along with detailed logs. These reports become handy and can be shared across development and testing teams.

Some of the leading Web UI Automation Testing Tools

1. Selenium:

This is one of the most commonly used open-source test automation tool that is used to automated browsers. Selenium Testing supports multiple programming languages such as Java, C#, Python, etc. to create selenium test scripts. Selenium tool is best suited and used for all web applications across browsers.

2. ACCELQ:

ACCELQ is a leading codeless test automation and agile test management platform which is AI based and is a continuous testing platform. This tool is used for quality lifecycle management, API and UI end-to-end validations. It is an effective functional and test automation platform and is next-gen test management platform for manual and automation intelligent test planning and delivers change management.

3. Tricentis Tosca:

Tricentis Tosca is an effective automation tool that supports all testing activities ranging from test design, test automation to test reports along with analytics. It has special features such as dashboards, analytics, integrations, and effective test executions to support CI and DevOps practices. This tool also offers a user-friendly UI and a rich feature set for designing, executing, implementing and optimizing API tests. These API tests can be used to test across all browsers, mobile devices, and various platforms.

4. QTP/UFT:

Unified Functional Testing (UFT) is an automation tool that provides functional and regression test automation for software applications and environments. UFT tool automates functional testing for web, mobile, API, RPA and enterprise applications by increasing the test coverage from the UI to API.

5. TestComplete:

TestComplete is one of the important automation testing tool that is used to test desktop, web and mobile applications. It is specifically used to build, test and run functional user interface tests with its much useful record and playback features. This tool supports all scripting languages such as JavaScript, Python, VBScript to name a few.

6. Katalon:

Katalon studio is the most widely used open-source test automation tool that can be used to test both web and mobile applications. This tool can be used together with Appium and Selenium. It primarily helps to quickly generate automated tests cross-platform and seamlessly integrates into CI/CD pipeline. Some of its features include an integrated development environment, a base level object repository, object spy and a typical browser plugin, etc.

Conclusion

Automated UI Testing for Web is a critical testing process which businesses should leverage to know about the functionality of various web app GUI features and how they function. Additionally, this web UI automation testing reduces regression testing efforts largely. But, there are certain challenges with respect to web UI automation testing that should be effectively handled by testers.

By handling these challenges, it helps to evolve an effective user friendly website and web app that delivers great UI and UX to end-users. Hence, automated Web UI testing should be leveraged to deliver an effective web application that delivers great satisfaction to end-users. Leverage next-gen testing services provider to ensure a quality web app to your users with thorough web UI automated testing.

The post Automated UI Testing Challenges and How to Overcome Them first appeared on TestingXperts.